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Luxembourg Institute of Health
3 days ago
Post-Doctoral Fellow: Gut Microbiome and Bioinformatics Luxembourg Institute of Health in Luxembourg
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Nov 30, 2026
Country
Luxembourg
University
Luxembourg Institute of Health
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About this position
Post-Doctoral Fellow in Gut Microbiome and Bioinformatics at the Luxembourg Institute of Health, working in the Nutrition, Microbiome and Immunity group led by Dr. Mahesh S. Desai.
The researcher will contribute to a translational bed-to-bench-to-bed program focused on the gut microbiome, combining synthetic gut microbial communities, patient cohorts, dietary intervention cohorts, and international collaborations. The position is centred on cutting-edge bioinformatics methods applied to microbiome research, with computational support for ongoing projects and room to pursue independent research interests aligned with the group’s recent publications.
Day-to-day work includes microbial bioinformatic analysis of samples from mice and patient cohorts, development and refinement of microbiome and bioinformatics methodologies, and participation in multidisciplinary projects across experimental and computational research. The role also offers exposure to a research environment that connects fundamental microbiome science with translational applications and collaboration across academia and potentially industry.
The post is based at the Luxembourg Institute of Health in Luxembourg and is part of an active research group with an international outlook. The successful candidate will join a team working at the interface of microbiome biology, computational analysis, and human health.
Funding details
Available
What's required
Applicants must hold a PhD degree in bioinformatics or a related interdisciplinary field. Fluency in English is required. A high level of motivation for research, attention to detail, scientific creativity, and strong writing skills are expected. Proficiency in machine learning and large omics data analysis is preferred.
How to apply
Apply through the official job website provided in the advert. Use the application page linked in the posting and submit the requested materials via the portal.
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Make your next move.
Prepare your application
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